Advanced Methods for Knowledge Discovery from Complex Data Ed

✍ Scribed by Ujjwal Maulik, Lawrence B. Holder, Diane J. Cook

Publisher: Springer
Year: 2005
Tongue: English
Leaves: 374
Series: Advanced Information and Knowledge Processing
Edition: 1st Edition.
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This book brings together research articles by active practitioners and leading researchers reporting recent advances in the field of knowledge discovery.
An overview of the field, looking at the issues and challenges involved is followed by coverage of recent trends in data mining. This provides the context for the subsequent chapters on methods and applications. Part I is devoted to the foundations of mining different types of complex data like trees, graphs, links and sequences. A knowledge discovery approach based on problem decomposition is also described. Part II presents important applications of advanced mining techniques to data in unconventional and complex domains, such as life sciences, world-wide web, image databases, cyber security and sensor networks.
With a good balance of introductory material on the knowledge discovery process, advanced issues and state-of-the-art tools and techniques, this book will be useful to students at Masters and PhD level in Computer Science, as well as practitioners in the field.

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